Overview

Dataset statistics

Number of variables27
Number of observations472
Missing cells3903
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.1 KiB
Average record size in memory230.3 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),약국영업면적,지정일자
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16324/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 472 (100.0%) missing valuesMissing
폐업일자 has 200 (42.4%) missing valuesMissing
휴업시작일자 has 472 (100.0%) missing valuesMissing
휴업종료일자 has 472 (100.0%) missing valuesMissing
재개업일자 has 472 (100.0%) missing valuesMissing
전화번호 has 87 (18.4%) missing valuesMissing
소재지면적 has 472 (100.0%) missing valuesMissing
소재지우편번호 has 296 (62.7%) missing valuesMissing
지번주소 has 36 (7.6%) missing valuesMissing
도로명주소 has 80 (16.9%) missing valuesMissing
도로명우편번호 has 80 (16.9%) missing valuesMissing
업태구분명 has 472 (100.0%) missing valuesMissing
좌표정보(X) has 79 (16.7%) missing valuesMissing
좌표정보(Y) has 79 (16.7%) missing valuesMissing
약국영업면적 has 67 (14.2%) missing valuesMissing
지정일자 has 67 (14.2%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:01:03.633309
Analysis finished2024-05-11 08:01:05.062433
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3140000
472 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 472
100.0%

Length

2024-05-11T08:01:05.345381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:05.684392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 472
100.0%

관리번호
Text

UNIQUE 

Distinct472
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T08:01:06.301697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters11800
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique472 ?
Unique (%)100.0%

Sample

1st rowPHMD119723140033084000001
2nd rowPHMD119733140033084000001
3rd rowPHMD119733140033084000002
4th rowPHMD119743140033084000001
5th rowPHMD119753140033084000001
ValueCountFrequency (%)
phmd119723140033084000001 1
 
0.2%
phmd120133140033084000023 1
 
0.2%
phmd120143140033084000009 1
 
0.2%
phmd120143140033084000008 1
 
0.2%
phmd120143140033084000007 1
 
0.2%
phmd120143140033084000006 1
 
0.2%
phmd120143140033084000005 1
 
0.2%
phmd120143140033084000004 1
 
0.2%
phmd120143140033084000003 1
 
0.2%
phmd120143140033084000002 1
 
0.2%
Other values (462) 462
97.9%
2024-05-11T08:01:07.396349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4229
35.8%
3 1539
 
13.0%
1 1492
 
12.6%
4 1036
 
8.8%
2 599
 
5.1%
8 579
 
4.9%
P 472
 
4.0%
H 472
 
4.0%
M 472
 
4.0%
D 472
 
4.0%
Other values (4) 438
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9912
84.0%
Uppercase Letter 1888
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4229
42.7%
3 1539
 
15.5%
1 1492
 
15.1%
4 1036
 
10.5%
2 599
 
6.0%
8 579
 
5.8%
9 191
 
1.9%
7 87
 
0.9%
6 85
 
0.9%
5 75
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 472
25.0%
H 472
25.0%
M 472
25.0%
D 472
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9912
84.0%
Latin 1888
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4229
42.7%
3 1539
 
15.5%
1 1492
 
15.1%
4 1036
 
10.5%
2 599
 
6.0%
8 579
 
5.8%
9 191
 
1.9%
7 87
 
0.9%
6 85
 
0.9%
5 75
 
0.8%
Latin
ValueCountFrequency (%)
P 472
25.0%
H 472
25.0%
M 472
25.0%
D 472
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4229
35.8%
3 1539
 
13.0%
1 1492
 
12.6%
4 1036
 
8.8%
2 599
 
5.1%
8 579
 
4.9%
P 472
 
4.0%
H 472
 
4.0%
M 472
 
4.0%
D 472
 
4.0%
Other values (4) 438
 
3.7%

인허가일자
Date

Distinct450
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum1972-08-31 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T08:01:07.967328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:01:08.552302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3
270 
1
200 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 270
57.2%
1 200
42.4%
4 2
 
0.4%

Length

2024-05-11T08:01:09.061059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:09.479686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 270
57.2%
1 200
42.4%
4 2
 
0.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
270 
영업/정상
200 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.3220339
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 270
57.2%
영업/정상 200
42.4%
취소/말소/만료/정지/중지 2
 
0.4%

Length

2024-05-11T08:01:09.943809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:10.384531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 270
57.2%
영업/정상 200
42.4%
취소/말소/만료/정지/중지 2
 
0.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
3
270 
13
200 
24
 
2

Length

Max length2
Median length1
Mean length1.4279661
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row3
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 270
57.2%
13 200
42.4%
24 2
 
0.4%

Length

2024-05-11T08:01:11.195335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:11.695541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 270
57.2%
13 200
42.4%
24 2
 
0.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
폐업
270 
영업중
200 
직권폐업
 
2

Length

Max length4
Median length2
Mean length2.4322034
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업중
3rd row폐업
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
폐업 270
57.2%
영업중 200
42.4%
직권폐업 2
 
0.4%

Length

2024-05-11T08:01:12.210701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:12.630300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 270
57.2%
영업중 200
42.4%
직권폐업 2
 
0.4%

폐업일자
Date

MISSING 

Distinct246
Distinct (%)90.4%
Missing200
Missing (%)42.4%
Memory size3.8 KiB
Minimum2008-09-04 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T08:01:13.074031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:01:13.744381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

전화번호
Text

MISSING 

Distinct339
Distinct (%)88.1%
Missing87
Missing (%)18.4%
Memory size3.8 KiB
2024-05-11T08:01:14.580899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.051948
Min length1

Characters and Unicode

Total characters3870
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)78.4%

Sample

1st row2602-7986
2nd row2603-0715
3rd row2642-8250
4th row2603-0702
5th row2605-7281
ValueCountFrequency (%)
02-0000-0000 5
 
1.3%
2647-0998 4
 
1.0%
02-1111-1111 3
 
0.8%
2642-8345 3
 
0.8%
2607-2727 3
 
0.8%
2652-9007 3
 
0.8%
2608-8096 2
 
0.5%
2645-3130 2
 
0.5%
02-6952-5777 2
 
0.5%
02-2652-1258 2
 
0.5%
Other values (329) 356
92.5%
2024-05-11T08:01:15.966434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 722
18.7%
6 526
13.6%
- 504
13.0%
0 491
12.7%
4 283
 
7.3%
5 252
 
6.5%
8 239
 
6.2%
9 235
 
6.1%
7 224
 
5.8%
1 201
 
5.2%
Other values (2) 193
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3365
87.0%
Dash Punctuation 504
 
13.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 722
21.5%
6 526
15.6%
0 491
14.6%
4 283
 
8.4%
5 252
 
7.5%
8 239
 
7.1%
9 235
 
7.0%
7 224
 
6.7%
1 201
 
6.0%
3 192
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 722
18.7%
6 526
13.6%
- 504
13.0%
0 491
12.7%
4 283
 
7.3%
5 252
 
6.5%
8 239
 
6.2%
9 235
 
6.1%
7 224
 
5.8%
1 201
 
5.2%
Other values (2) 193
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 722
18.7%
6 526
13.6%
- 504
13.0%
0 491
12.7%
4 283
 
7.3%
5 252
 
6.5%
8 239
 
6.2%
9 235
 
6.1%
7 224
 
5.8%
1 201
 
5.2%
Other values (2) 193
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

소재지우편번호
Text

MISSING 

Distinct65
Distinct (%)36.9%
Missing296
Missing (%)62.7%
Memory size3.8 KiB
2024-05-11T08:01:16.841458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0454545
Min length6

Characters and Unicode

Total characters1064
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)21.0%

Sample

1st row158073
2nd row158091
3rd row158813
4th row158829
5th row158860
ValueCountFrequency (%)
158050 27
 
15.3%
158070 24
 
13.6%
158811 11
 
6.2%
158090 8
 
4.5%
158857 6
 
3.4%
158864 4
 
2.3%
158807 4
 
2.3%
158849 4
 
2.3%
158851 3
 
1.7%
158840 3
 
1.7%
Other values (55) 82
46.6%
2024-05-11T08:01:18.199392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 272
25.6%
5 234
22.0%
1 224
21.1%
0 152
14.3%
7 66
 
6.2%
9 28
 
2.6%
6 27
 
2.5%
2 23
 
2.2%
4 17
 
1.6%
3 11
 
1.0%
Other values (2) 10
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1054
99.1%
Dash Punctuation 8
 
0.8%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 272
25.8%
5 234
22.2%
1 224
21.3%
0 152
14.4%
7 66
 
6.3%
9 28
 
2.7%
6 27
 
2.6%
2 23
 
2.2%
4 17
 
1.6%
3 11
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 272
25.6%
5 234
22.0%
1 224
21.1%
0 152
14.3%
7 66
 
6.2%
9 28
 
2.6%
6 27
 
2.5%
2 23
 
2.2%
4 17
 
1.6%
3 11
 
1.0%
Other values (2) 10
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 272
25.6%
5 234
22.0%
1 224
21.1%
0 152
14.3%
7 66
 
6.2%
9 28
 
2.6%
6 27
 
2.5%
2 23
 
2.2%
4 17
 
1.6%
3 11
 
1.0%
Other values (2) 10
 
0.9%

지번주소
Text

MISSING 

Distinct405
Distinct (%)92.9%
Missing36
Missing (%)7.6%
Memory size3.8 KiB
2024-05-11T08:01:19.030490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length24.09633
Min length14

Characters and Unicode

Total characters10506
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)87.2%

Sample

1st row서울특별시 양천구 신정3동 1181-16
2nd row서울특별시 양천구 신월1동 114-4
3rd row서울특별시 양천구 목동 718번지 10호
4th row서울특별시 양천구 신월3동 178-15
5th row서울특별시 양천구 신월3동 183-24
ValueCountFrequency (%)
서울특별시 436
19.9%
양천구 436
19.9%
목동 116
 
5.3%
신정동 107
 
4.9%
1층 56
 
2.6%
신월동 50
 
2.3%
1호 29
 
1.3%
목1동 21
 
1.0%
2호 18
 
0.8%
신정3동 15
 
0.7%
Other values (497) 910
41.5%
2024-05-11T08:01:20.587152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1774
 
16.9%
1 641
 
6.1%
동 475
 
4.5%
시 444
 
4.2%
양 440
 
4.2%
구 438
 
4.2%
서 437
 
4.2%
천 437
 
4.2%
특 436
 
4.2%
별 436
 
4.2%
Other values (160) 4548
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6066
57.7%
Decimal Number 2367
 
22.5%
Space Separator 1774
 
16.9%
Dash Punctuation 221
 
2.1%
Other Punctuation 57
 
0.5%
Uppercase Letter 16
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 475
 
7.8%
시 444
 
7.3%
양 440
 
7.3%
구 438
 
7.2%
서 437
 
7.2%
천 437
 
7.2%
특 436
 
7.2%
별 436
 
7.2%
울 436
 
7.2%
신 273
 
4.5%
Other values (132) 1814
29.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
18.8%
B 3
18.8%
R 2
12.5%
D 1
 
6.2%
I 1
 
6.2%
C 1
 
6.2%
H 1
 
6.2%
S 1
 
6.2%
Q 1
 
6.2%
U 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 641
27.1%
2 268
11.3%
9 223
 
9.4%
0 212
 
9.0%
3 201
 
8.5%
7 188
 
7.9%
4 184
 
7.8%
6 176
 
7.4%
5 163
 
6.9%
8 111
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 56
98.2%
/ 1
 
1.8%
Space Separator
ValueCountFrequency (%)
1774
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6066
57.7%
Common 4423
42.1%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 475
 
7.8%
시 444
 
7.3%
양 440
 
7.3%
구 438
 
7.2%
서 437
 
7.2%
천 437
 
7.2%
특 436
 
7.2%
별 436
 
7.2%
울 436
 
7.2%
신 273
 
4.5%
Other values (132) 1814
29.9%
Common
ValueCountFrequency (%)
1774
40.1%
1 641
 
14.5%
2 268
 
6.1%
9 223
 
5.0%
- 221
 
5.0%
0 212
 
4.8%
3 201
 
4.5%
7 188
 
4.3%
4 184
 
4.2%
6 176
 
4.0%
Other values (6) 335
 
7.6%
Latin
ValueCountFrequency (%)
A 3
17.6%
B 3
17.6%
R 2
11.8%
Ⅱ 1
 
5.9%
D 1
 
5.9%
I 1
 
5.9%
C 1
 
5.9%
H 1
 
5.9%
S 1
 
5.9%
Q 1
 
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6066
57.7%
ASCII 4439
42.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1774
40.0%
1 641
 
14.4%
2 268
 
6.0%
9 223
 
5.0%
- 221
 
5.0%
0 212
 
4.8%
3 201
 
4.5%
7 188
 
4.2%
4 184
 
4.1%
6 176
 
4.0%
Other values (17) 351
 
7.9%
Hangul
ValueCountFrequency (%)
동 475
 
7.8%
시 444
 
7.3%
양 440
 
7.3%
구 438
 
7.2%
서 437
 
7.2%
천 437
 
7.2%
특 436
 
7.2%
별 436
 
7.2%
울 436
 
7.2%
신 273
 
4.5%
Other values (132) 1814
29.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct328
Distinct (%)83.7%
Missing80
Missing (%)16.9%
Memory size3.8 KiB
2024-05-11T08:01:21.415913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length28.97449
Min length22

Characters and Unicode

Total characters11358
Distinct characters172
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)70.9%

Sample

1st row서울특별시 양천구 중앙로43길 26 (신정동)
2nd row서울특별시 양천구 월정로 165 (신월동)
3rd row서울특별시 양천구 목동중앙본로7길 48 (목동)
4th row서울특별시 양천구 남부순환로40길 50 (신월동)
5th row서울특별시 양천구 남부순환로40가길 15-1 (신월동)
ValueCountFrequency (%)
서울특별시 392
16.9%
양천구 392
16.9%
목동 156
 
6.7%
신정동 136
 
5.9%
신월동 106
 
4.6%
1층 77
 
3.3%
신월로 31
 
1.3%
목동서로 29
 
1.3%
목동동로 28
 
1.2%
등촌로 24
 
1.0%
Other values (400) 944
40.8%
2024-05-11T08:01:22.965393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1925
 
16.9%
동 618
 
5.4%
서 432
 
3.8%
양 411
 
3.6%
시 398
 
3.5%
로 398
 
3.5%
천 393
 
3.5%
울 392
 
3.5%
) 392
 
3.5%
( 392
 
3.5%
Other values (162) 5607
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6755
59.5%
Space Separator 1925
 
16.9%
Decimal Number 1588
 
14.0%
Close Punctuation 392
 
3.5%
Open Punctuation 392
 
3.5%
Other Punctuation 261
 
2.3%
Dash Punctuation 25
 
0.2%
Uppercase Letter 17
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 618
 
9.1%
서 432
 
6.4%
양 411
 
6.1%
시 398
 
5.9%
로 398
 
5.9%
천 393
 
5.8%
울 392
 
5.8%
구 392
 
5.8%
별 392
 
5.8%
특 392
 
5.8%
Other values (135) 2537
37.6%
Decimal Number
ValueCountFrequency (%)
1 383
24.1%
2 257
16.2%
0 211
13.3%
3 177
11.1%
4 129
 
8.1%
5 114
 
7.2%
7 93
 
5.9%
6 89
 
5.6%
9 80
 
5.0%
8 55
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
I 3
17.6%
A 3
17.6%
B 3
17.6%
R 2
11.8%
H 1
 
5.9%
C 1
 
5.9%
S 1
 
5.9%
Q 1
 
5.9%
U 1
 
5.9%
E 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 392
100.0%
Open Punctuation
ValueCountFrequency (%)
( 392
100.0%
Other Punctuation
ValueCountFrequency (%)
, 261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6755
59.5%
Common 4584
40.4%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 618
 
9.1%
서 432
 
6.4%
양 411
 
6.1%
시 398
 
5.9%
로 398
 
5.9%
천 393
 
5.8%
울 392
 
5.8%
구 392
 
5.8%
별 392
 
5.8%
특 392
 
5.8%
Other values (135) 2537
37.6%
Common
ValueCountFrequency (%)
1925
42.0%
) 392
 
8.6%
( 392
 
8.6%
1 383
 
8.4%
, 261
 
5.7%
2 257
 
5.6%
0 211
 
4.6%
3 177
 
3.9%
4 129
 
2.8%
5 114
 
2.5%
Other values (6) 343
 
7.5%
Latin
ValueCountFrequency (%)
I 3
15.8%
A 3
15.8%
B 3
15.8%
R 2
10.5%
l 2
10.5%
H 1
 
5.3%
C 1
 
5.3%
S 1
 
5.3%
Q 1
 
5.3%
U 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6755
59.5%
ASCII 4603
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1925
41.8%
) 392
 
8.5%
( 392
 
8.5%
1 383
 
8.3%
, 261
 
5.7%
2 257
 
5.6%
0 211
 
4.6%
3 177
 
3.8%
4 129
 
2.8%
5 114
 
2.5%
Other values (17) 362
 
7.9%
Hangul
ValueCountFrequency (%)
동 618
 
9.1%
서 432
 
6.4%
양 411
 
6.1%
시 398
 
5.9%
로 398
 
5.9%
천 393
 
5.8%
울 392
 
5.8%
구 392
 
5.8%
별 392
 
5.8%
특 392
 
5.8%
Other values (135) 2537
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)37.8%
Missing80
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean33757.605
Minimum7902
Maximum158879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T08:01:23.649591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7902
5-th percentile7919
Q17956
median8009
Q38083.5
95-th percentile158840
Maximum158879
Range150977
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation56808.9
Coefficient of variation (CV)1.6828475
Kurtosis1.0860465
Mean33757.605
Median Absolute Deviation (MAD)63
Skewness1.7551347
Sum13232981
Variance3.2272512 × 109
MonotonicityNot monotonic
2024-05-11T08:01:24.221938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7946 14
 
3.0%
8049 10
 
2.1%
7997 10
 
2.1%
7937 9
 
1.9%
158070 9
 
1.9%
7930 8
 
1.7%
7965 7
 
1.5%
8073 7
 
1.5%
8104 7
 
1.5%
7921 7
 
1.5%
Other values (138) 304
64.4%
(Missing) 80
 
16.9%
ValueCountFrequency (%)
7902 1
 
0.2%
7903 2
0.4%
7904 2
0.4%
7905 1
 
0.2%
7909 4
0.8%
7910 2
0.4%
7911 1
 
0.2%
7912 3
0.6%
7913 1
 
0.2%
7917 1
 
0.2%
ValueCountFrequency (%)
158879 1
 
0.2%
158877 2
0.4%
158865 1
 
0.2%
158864 1
 
0.2%
158861 4
0.8%
158859 1
 
0.2%
158857 1
 
0.2%
158855 1
 
0.2%
158851 1
 
0.2%
158849 2
0.4%

사업장명
Text

Distinct344
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-05-11T08:01:25.108328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length5.2457627
Min length3

Characters and Unicode

Total characters2476
Distinct characters247
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)54.0%

Sample

1st row경북약국
2nd row호약국
3rd row제성약국
4th row신왕약국
5th row메디팜금성약국
ValueCountFrequency (%)
다민약국 4
 
0.8%
태평양온누리약국 4
 
0.8%
수정약국 4
 
0.8%
사랑약국 4
 
0.8%
자연약국 4
 
0.8%
새봄약국 4
 
0.8%
창대온누리약국 4
 
0.8%
연성약국 4
 
0.8%
한약국 3
 
0.6%
목동홍약국 3
 
0.6%
Other values (337) 440
92.1%
2024-05-11T08:01:26.841835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 474
19.1%
약 473
19.1%
리 77
 
3.1%
온 48
 
1.9%
누 48
 
1.9%
한 47
 
1.9%
동 45
 
1.8%
목 37
 
1.5%
메 34
 
1.4%
디 32
 
1.3%
Other values (237) 1161
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2458
99.3%
Decimal Number 9
 
0.4%
Space Separator 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 474
19.3%
약 473
19.2%
리 77
 
3.1%
온 48
 
2.0%
누 48
 
2.0%
한 47
 
1.9%
동 45
 
1.8%
목 37
 
1.5%
메 34
 
1.4%
디 32
 
1.3%
Other values (227) 1143
46.5%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
2 2
22.2%
1 1
 
11.1%
5 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
C 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2458
99.3%
Common 15
 
0.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 474
19.3%
약 473
19.2%
리 77
 
3.1%
온 48
 
2.0%
누 48
 
2.0%
한 47
 
1.9%
동 45
 
1.8%
목 37
 
1.5%
메 34
 
1.4%
디 32
 
1.3%
Other values (227) 1143
46.5%
Common
ValueCountFrequency (%)
6
40.0%
4 3
20.0%
2 2
 
13.3%
1 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
C 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2458
99.3%
ASCII 18
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 474
19.3%
약 473
19.2%
리 77
 
3.1%
온 48
 
2.0%
누 48
 
2.0%
한 47
 
1.9%
동 45
 
1.8%
목 37
 
1.5%
메 34
 
1.4%
디 32
 
1.3%
Other values (227) 1143
46.5%
ASCII
ValueCountFrequency (%)
6
33.3%
4 3
16.7%
2 2
 
11.1%
S 1
 
5.6%
C 1
 
5.6%
V 1
 
5.6%
1 1
 
5.6%
5 1
 
5.6%
6 1
 
5.6%
3 1
 
5.6%

최종수정일자
Date

UNIQUE 

Distinct472
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2008-11-18 14:29:44
Maximum2024-05-03 15:27:56
2024-05-11T08:01:27.435981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:01:27.899072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
I
339 
U
133 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 339
71.8%
U 133
 
28.2%

Length

2024-05-11T08:01:28.268202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:01:28.642582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 339
71.8%
u 133
 
28.2%

데이터갱신일자
Date

Distinct154
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T08:01:29.057684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:01:29.628487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing472
Missing (%)100.0%
Memory size4.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct250
Distinct (%)63.6%
Missing79
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean187225.45
Minimum184478.86
Maximum189755.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T08:01:30.097346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184478.86
5-th percentile184752.67
Q1185919.94
median187829.67
Q3188378.47
95-th percentile188983.42
Maximum189755.54
Range5276.6792
Interquartile range (IQR)2458.5334

Descriptive statistics

Standard deviation1437.0717
Coefficient of variation (CV)0.007675622
Kurtosis-1.161691
Mean187225.45
Median Absolute Deviation (MAD)924.74134
Skewness-0.39565771
Sum73579600
Variance2065175.2
MonotonicityNot monotonic
2024-05-11T08:01:30.605285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187923.919592336 7
 
1.5%
187954.189632117 6
 
1.3%
185919.935903308 5
 
1.1%
185099.82674039 5
 
1.1%
184971.290324023 5
 
1.1%
189214.609593464 5
 
1.1%
188953.066831076 5
 
1.1%
188014.925269664 4
 
0.8%
185143.375565775 4
 
0.8%
185982.904177801 4
 
0.8%
Other values (240) 343
72.7%
(Missing) 79
 
16.7%
ValueCountFrequency (%)
184478.862144666 1
0.2%
184593.862313146 2
0.4%
184617.466764561 1
0.2%
184623.971611347 1
0.2%
184638.966406494 2
0.4%
184682.570481069 1
0.2%
184684.375 2
0.4%
184685.372420071 1
0.2%
184698.083646784 2
0.4%
184728.728549355 2
0.4%
ValueCountFrequency (%)
189755.541308355 2
 
0.4%
189749.776358917 3
0.6%
189709.803505321 1
 
0.2%
189473.530827695 1
 
0.2%
189371.998478153 1
 
0.2%
189266.403688297 1
 
0.2%
189214.609593464 5
1.1%
189197.506088261 1
 
0.2%
189151.208015925 1
 
0.2%
189095.326985144 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct249
Distinct (%)63.4%
Missing79
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean447328.02
Minimum445093.79
Maximum449767.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T08:01:31.059180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445093.79
5-th percentile445606.96
Q1446413.09
median447091.86
Q3448206.39
95-th percentile449592.17
Maximum449767.44
Range4673.6493
Interquartile range (IQR)1793.2939

Descriptive statistics

Standard deviation1195.613
Coefficient of variation (CV)0.0026727882
Kurtosis-0.74322011
Mean447328.02
Median Absolute Deviation (MAD)825.96512
Skewness0.34655635
Sum1.7579991 × 108
Variance1429490.5
MonotonicityNot monotonic
2024-05-11T08:01:31.600397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447850.891096367 7
 
1.5%
445124.131588947 6
 
1.3%
446920.163216996 5
 
1.1%
445627.497359739 5
 
1.1%
448157.690643506 5
 
1.1%
445601.995865959 5
 
1.1%
447333.569187997 5
 
1.1%
449599.975407779 4
 
0.8%
445610.277402204 4
 
0.8%
446903.316659652 4
 
0.8%
Other values (239) 343
72.7%
(Missing) 79
 
16.7%
ValueCountFrequency (%)
445093.792485881 1
 
0.2%
445104.207668176 1
 
0.2%
445124.131588947 6
1.3%
445180.40867328 1
 
0.2%
445396.416355651 2
 
0.4%
445428.447103333 1
 
0.2%
445491.842629 1
 
0.2%
445561.075577775 1
 
0.2%
445597.867304429 1
 
0.2%
445601.995865959 5
1.1%
ValueCountFrequency (%)
449767.441786782 2
0.4%
449727.47955699 2
0.4%
449706.807437882 2
0.4%
449701.802558519 1
 
0.2%
449683.219205227 1
 
0.2%
449668.428997479 2
0.4%
449656.729753851 1
 
0.2%
449654.079008626 1
 
0.2%
449629.868996021 3
0.6%
449603.052220201 1
 
0.2%

약국영업면적
Real number (ℝ)

MISSING 

Distinct310
Distinct (%)76.5%
Missing67
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean46.871185
Minimum8
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T08:01:32.060264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile18.18
Q127.84
median37.74
Q354.45
95-th percentile105.48
Maximum301
Range293
Interquartile range (IQR)26.61

Descriptive statistics

Standard deviation31.003639
Coefficient of variation (CV)0.6614648
Kurtosis14.60197
Mean46.871185
Median Absolute Deviation (MAD)12.53
Skewness2.8642227
Sum18982.83
Variance961.22563
MonotonicityNot monotonic
2024-05-11T08:01:32.584907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.0 5
 
1.1%
49.3 5
 
1.1%
68.3 4
 
0.8%
28.0 4
 
0.8%
52.4 3
 
0.6%
33.13 3
 
0.6%
36.6 3
 
0.6%
36.5 3
 
0.6%
52.2 3
 
0.6%
81.25 3
 
0.6%
Other values (300) 369
78.2%
(Missing) 67
 
14.2%
ValueCountFrequency (%)
8.0 1
0.2%
11.8 1
0.2%
12.2 1
0.2%
12.5 1
0.2%
13.5 1
0.2%
14.1 1
0.2%
14.26 2
0.4%
14.43 1
0.2%
15.0 1
0.2%
15.26 1
0.2%
ValueCountFrequency (%)
301.0 1
 
0.2%
228.8 1
 
0.2%
183.4 1
 
0.2%
150.0 1
 
0.2%
144.2 1
 
0.2%
134.55 1
 
0.2%
131.24 1
 
0.2%
126.3 3
0.6%
120.0 1
 
0.2%
119.88 1
 
0.2%

지정일자
Real number (ℝ)

MISSING 

Distinct388
Distinct (%)95.8%
Missing67
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean20074667
Minimum19720831
Maximum20211115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T08:01:33.175934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720831
5-th percentile19832760
Q120030623
median20100216
Q320140627
95-th percentile20200264
Maximum20211115
Range490284
Interquartile range (IQR)110004

Descriptive statistics

Standard deviation102263.89
Coefficient of variation (CV)0.0050941764
Kurtosis1.6268027
Mean20074667
Median Absolute Deviation (MAD)59395
Skewness-1.2935515
Sum8.1302402 × 109
Variance1.0457904 × 1010
MonotonicityNot monotonic
2024-05-11T08:01:33.990841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100802 2
 
0.4%
20170904 2
 
0.4%
20120329 2
 
0.4%
20190102 2
 
0.4%
20190114 2
 
0.4%
20191115 2
 
0.4%
20190415 2
 
0.4%
20110103 2
 
0.4%
20190527 2
 
0.4%
20160104 2
 
0.4%
Other values (378) 385
81.6%
(Missing) 67
 
14.2%
ValueCountFrequency (%)
19720831 1
0.2%
19730502 1
0.2%
19730925 1
0.2%
19740814 1
0.2%
19751110 1
0.2%
19771013 1
0.2%
19771017 1
0.2%
19780118 1
0.2%
19780825 1
0.2%
19790704 1
0.2%
ValueCountFrequency (%)
20211115 1
0.2%
20211112 1
0.2%
20210902 1
0.2%
20210713 1
0.2%
20210709 1
0.2%
20210622 1
0.2%
20210517 1
0.2%
20210401 1
0.2%
20210104 1
0.2%
20201216 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03140000PHMD11972314003308400000119720831<NA>3폐업3폐업20161206<NA><NA><NA>2602-7986<NA>158073서울특별시 양천구 신정3동 1181-16서울특별시 양천구 중앙로43길 26 (신정동)8072경북약국2016-12-06 16:40:17I2018-08-31 23:59:59.0<NA>186909.50549446259.36268830.9419720831
13140000PHMD11973314003308400000119730502<NA>1영업/정상13영업중<NA><NA><NA><NA>2603-0715<NA>158091서울특별시 양천구 신월1동 114-4서울특별시 양천구 월정로 165 (신월동)7922호약국2012-11-12 18:33:29I2018-08-31 23:59:59.0<NA>185431.33768447930.31512522.2619730502
23140000PHMD11973314003308400000219730925<NA>3폐업3폐업20201214<NA><NA><NA>2642-8250<NA>158813서울특별시 양천구 목동 718번지 10호서울특별시 양천구 목동중앙본로7길 48 (목동)7955제성약국2020-12-14 15:15:12U2020-12-16 02:40:00.0<NA>188088.108041448596.44170520.819730925
33140000PHMD11974314003308400000119740814<NA>1영업/정상13영업중<NA><NA><NA><NA>2603-0702<NA><NA>서울특별시 양천구 신월3동 178-15서울특별시 양천구 남부순환로40길 50 (신월동)7911신왕약국2012-11-12 18:34:40I2018-08-31 23:59:59.0<NA>184617.466765447940.69602649.519740814
43140000PHMD1197531400330840000011975-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA>2605-7281<NA><NA>서울특별시 양천구 신월3동 183-24서울특별시 양천구 남부순환로40가길 15-1 (신월동)7913메디팜금성약국2024-01-31 13:54:44U2023-12-02 00:02:00.0<NA>184478.862145447939.775476<NA><NA>
53140000PHMD11975314003308400000219751110<NA>3폐업3폐업20161212<NA><NA><NA>2602-7371<NA><NA>서울특별시 양천구 신정3동 1184-17서울특별시 양천구 중앙로43길 12-1 (신정동)8059전일약국2016-12-12 15:51:56I2018-08-31 23:59:59.0<NA>186867.83319446382.88555936.1819751110
63140000PHMD11975314003308400000319751117<NA>3폐업3폐업20220805<NA><NA><NA>2645-8181<NA><NA>서울특별시 양천구 신정1동 1049-1서울특별시 양천구 중앙로36길 16-1 (신정동)8085호성약국2022-08-05 13:25:15U2021-12-08 00:07:00.0<NA>187192.405463446366.547205<NA><NA>
73140000PHMD11977314003308400000119771013<NA>3폐업3폐업20171106<NA><NA><NA>2603-2737<NA><NA>서울특별시 양천구 신정3동 1189-10서울특별시 양천구 중앙로45길 9 (신정동)8059건강한약국2017-11-06 17:28:06I2018-08-31 23:59:59.0<NA>186804.058804446508.04472354.019771013
83140000PHMD11977314003308400000219771017<NA>1영업/정상13영업중<NA><NA><NA><NA>2603-2133<NA><NA>서울특별시 양천구 신월6동 556-37서울특별시 양천구 신월로10길 16 (신월동, 삼성아파트)8065경민약국2016-10-05 11:34:54I2018-08-31 23:59:59.0<NA>185843.320646445974.12892836.8619771017
93140000PHMD11978314003308400000119780118<NA>3폐업3폐업20111101<NA><NA><NA>2604-6148<NA>158829서울특별시 양천구 신월3동서울특별시 양천구 남부순환로40길 63 (신월동)158829메디팜성화약국2011-11-01 11:04:02I2018-08-31 23:59:59.0<NA>184593.862313447868.28445120.4819780118
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
4623140000PHMD1202331400330840000092023-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-0000-0000<NA><NA>서울특별시 양천구 목동 603-8서울특별시 양천구 목동중앙북로7길 21, 1층 3호 (목동)7946효자동약국2023-10-24 17:53:54I2022-10-30 22:06:00.0<NA>188223.966438449656.729754<NA><NA>
4633140000PHMD1202331400330840000102023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2065-6775<NA><NA>서울특별시 양천구 신정동 900-10서울특별시 양천구 목동로 203, 404호 (신정동)7938목동4층약국2023-10-27 16:27:44I2022-10-30 22:09:00.0<NA>187891.378891447174.379218<NA><NA>
4643140000PHMD1202331400330840000112023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1111-1111<NA><NA>서울특별시 양천구 신정동 1191-11서울특별시 양천구 신월로 280, 1층 101호 (신정동)8058매일열린약국2024-01-09 13:41:52U2023-11-30 23:01:00.0<NA>186828.575715446559.679185<NA><NA>
4653140000PHMD1202331400330840000122023-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1111-1111<NA><NA>서울특별시 양천구 신월동 105-11서울특별시 양천구 월정로 169, 105호 (신월동)7919행복한우리약국2023-12-28 16:12:38I2022-11-01 21:00:00.0<NA>185418.220336447959.005852<NA><NA>
4663140000PHMD1202431400330840000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-0000-0000<NA><NA>서울특별시 양천구 목동 961 현대하이페리온2서울특별시 양천구 오목로 300, 205동 113호 (목동, 현대하이페리온2)8004지은당한약국2024-01-05 15:43:07I2023-12-01 00:07:00.0<NA>188431.286329446909.365904<NA><NA>
4673140000PHMD1202431400330840000022024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-8569<NA><NA>서울특별시 양천구 신정동 282-2 메리트윈서울특별시 양천구 목동동로8길 23, 메리트윈 106호 (신정동)8017바로약국2024-02-15 18:07:16I2023-12-01 23:07:00.0<NA>188571.263721446080.039654<NA><NA>
4683140000PHMD1202431400330840000032024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1111-1111<NA><NA>서울특별시 양천구 신정동 1267 뉴프라자서울특별시 양천구 신정로 312, 뉴프라자 5층 503-1호 (신정동)8106신트리약국2024-02-29 13:46:10I2023-12-03 00:02:00.0<NA>187158.467033445678.076325<NA><NA>
4693140000PHMD1202431400330840000042024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5997<NA><NA>서울특별시 양천구 신정동 978-17서울특별시 양천구 신월로 327, 1층 (신정동)8027양천제일약국2024-03-13 18:02:24I2023-12-02 23:05:00.0<NA>187327.221318446637.940797<NA><NA>
4703140000PHMD1202431400330840000052024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2062-9078<NA><NA>서울특별시 양천구 신정동 294-58서울특별시 양천구 목동동로10길 14, 105호 (신정동)8014단비약국2024-04-30 17:49:45I2023-12-05 00:02:00.0<NA>188555.64385446305.287757<NA><NA>
4713140000PHMD1202431400330840000062024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2652-9007<NA><NA>서울특별시 양천구 신정동 1028-2서울특별시 양천구 신월로 314, 1층 (신정동)8082태평양온누리약국2024-05-03 15:27:56I2023-12-05 00:05:00.0<NA>187193.402979446564.088993<NA><NA>